Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426127
Weilin Luo, Taichun Rao
The parallel multidisciplinary optimization design is proposed in this paper to improve the hydrodynamic performance of underwater vehicle. An isight optimization platform is constructed in which the optimal Latin hypercube algorithm is selected as the experimental design method, and the RBF neural network is used to construct the approximate model. The simulated annealing algorithm is taken as the optimization algorithm. By using the optimization strategy proposed, the drag and energy consumption are significantly reduced, which demonstrates the validity of the proposed optimization method.
{"title":"An Approach of Multidisciplinary Optimization to Underwater Vehicle Profile Design","authors":"Weilin Luo, Taichun Rao","doi":"10.1109/ICIST.2018.8426127","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426127","url":null,"abstract":"The parallel multidisciplinary optimization design is proposed in this paper to improve the hydrodynamic performance of underwater vehicle. An isight optimization platform is constructed in which the optimal Latin hypercube algorithm is selected as the experimental design method, and the RBF neural network is used to construct the approximate model. The simulated annealing algorithm is taken as the optimization algorithm. By using the optimization strategy proposed, the drag and energy consumption are significantly reduced, which demonstrates the validity of the proposed optimization method.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126713833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426153
Boshan Chen, Jiejie Chen, Z. Zeng
Differential-algebraic neural networks is established by using the current-voltage characteristic of the mem-ristor. The basic problem of this new neural networks are investigated, such as the existence and uniqueness problem and the stability problem. In addition, a numerical example and simulation are given to show the effectiveness of the our results. The approach and results of the paper have a leading significance in the design and study of memristive neural networks and differential-algebraic neural networks.
{"title":"A Memristive Neural Networks Described by Differential-Algebraic Systems","authors":"Boshan Chen, Jiejie Chen, Z. Zeng","doi":"10.1109/ICIST.2018.8426153","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426153","url":null,"abstract":"Differential-algebraic neural networks is established by using the current-voltage characteristic of the mem-ristor. The basic problem of this new neural networks are investigated, such as the existence and uniqueness problem and the stability problem. In addition, a numerical example and simulation are given to show the effectiveness of the our results. The approach and results of the paper have a leading significance in the design and study of memristive neural networks and differential-algebraic neural networks.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122362264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426126
Ying Huan, Miao Si-Wei, Han Li-fang, Yu Wen-Hao, Zhou Liang
Deterministic replay plays an important role for parallel program debugging. Related work focused on how to efficiently record undeterminstic events in parallel programs, while ignored poor performance in replay-runs. This paper proposes a quick deterministic replay method based on dependence pair to acquire excellent performance in replay-runs. It conducts offline analysis for record log file to recognize the record items with dependency relationship based on topological graph, and each thread only executes these record items in order in replay-runs. Performance evaluation shows that this method gets better performance in replay-runs than traditional serial replay method.
{"title":"A Quick Deterministic Replay Method Based on Dependence Pair","authors":"Ying Huan, Miao Si-Wei, Han Li-fang, Yu Wen-Hao, Zhou Liang","doi":"10.1109/ICIST.2018.8426126","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426126","url":null,"abstract":"Deterministic replay plays an important role for parallel program debugging. Related work focused on how to efficiently record undeterminstic events in parallel programs, while ignored poor performance in replay-runs. This paper proposes a quick deterministic replay method based on dependence pair to acquire excellent performance in replay-runs. It conducts offline analysis for record log file to recognize the record items with dependency relationship based on topological graph, and each thread only executes these record items in order in replay-runs. Performance evaluation shows that this method gets better performance in replay-runs than traditional serial replay method.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114038455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426125
Bo Liao, Jing Li, Zhaojie Ju, G. Ouyang
Hand gesture recognition plays an important role in human-computer interaction. With the development of depth cameras, color images combined with depth images can provide richer information for hand gesture recognition. In this paper, we propose a hand gesture recognition system based on the data captured by Intel RealSense Front-Facing Camera SR300. Considering that the pixels in depth images collected by RealSense are not one-to-one to those in color images, the recognition system maps depth images to color images based on generalized Hough transform in order to segment hand from a complex background in color images using the depth information. Then, it recognizes different hand gestures by a novel double-channel convolutional neural network containing two input channels which are color images and depth images. Moreover, we built a hand gesture database of 24 different kinds of hand gestures representing 24 letters in the English alphabet. It contains a total of 168,000 images which are 84,000 RGB images and 84,000 depth images. Experimental results on our newly collected hand gesture database demonstrate the effectiveness of the proposed approach, and the recognition accuracy is 99.4%.
{"title":"Hand Gesture Recognition with Generalized Hough Transform and DC-CNN Using Realsense","authors":"Bo Liao, Jing Li, Zhaojie Ju, G. Ouyang","doi":"10.1109/ICIST.2018.8426125","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426125","url":null,"abstract":"Hand gesture recognition plays an important role in human-computer interaction. With the development of depth cameras, color images combined with depth images can provide richer information for hand gesture recognition. In this paper, we propose a hand gesture recognition system based on the data captured by Intel RealSense Front-Facing Camera SR300. Considering that the pixels in depth images collected by RealSense are not one-to-one to those in color images, the recognition system maps depth images to color images based on generalized Hough transform in order to segment hand from a complex background in color images using the depth information. Then, it recognizes different hand gestures by a novel double-channel convolutional neural network containing two input channels which are color images and depth images. Moreover, we built a hand gesture database of 24 different kinds of hand gestures representing 24 letters in the English alphabet. It contains a total of 168,000 images which are 84,000 RGB images and 84,000 depth images. Experimental results on our newly collected hand gesture database demonstrate the effectiveness of the proposed approach, and the recognition accuracy is 99.4%.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124543783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426189
K. Yan, Min Han
Feature matching is of great importance in the keypoint-based image stitching. Grid-based Motion Statistics (GMS) is a fast and ultra-robust image feature matching algorithm. However the correct matching rate and registration precision of GMS are relatively low. In order to obtain accurate aerial stitching images while ensuring high matching speed, an aerial image mosaic algorithm based on improved GMS is proposed in this paper. Firstly, we apply the ORB algorithm to extract and describe the feature points of the image. Then, GMS-based bidirectional matching is used to acquire the initial matching points. After that, false matches are rejected by constructing epipolar constraint. Finally, we use Random Sample Consensus Algorithm (RANSAC) to calculate the transformation model and fuse the aligning images by weighted average fusion algorithm. Experimental results show that the proposed algorithm has good matching accuracy and registration accuracy while maintaining a low matching time.
{"title":"Aerial Image Stitching Algorithm Based on Improved GMS","authors":"K. Yan, Min Han","doi":"10.1109/ICIST.2018.8426189","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426189","url":null,"abstract":"Feature matching is of great importance in the keypoint-based image stitching. Grid-based Motion Statistics (GMS) is a fast and ultra-robust image feature matching algorithm. However the correct matching rate and registration precision of GMS are relatively low. In order to obtain accurate aerial stitching images while ensuring high matching speed, an aerial image mosaic algorithm based on improved GMS is proposed in this paper. Firstly, we apply the ORB algorithm to extract and describe the feature points of the image. Then, GMS-based bidirectional matching is used to acquire the initial matching points. After that, false matches are rejected by constructing epipolar constraint. Finally, we use Random Sample Consensus Algorithm (RANSAC) to calculate the transformation model and fuse the aligning images by weighted average fusion algorithm. Experimental results show that the proposed algorithm has good matching accuracy and registration accuracy while maintaining a low matching time.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123820770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426089
Amar Partap Singh Pharwaha, Sushil Kakkar, Tara Singh Kamal
The present paper focuses on the design of ultra wide band (UWB) antenna using sierpinski carpet fractal structure as a tuning-stub in the coplanar waveguide (CPW) fed microstrip conducting patch. CPW feed is employed to enhance the impedance bandwidth of the proposed antenna. Similarly, implementation of fractal geometry in tuning stub is used for its miniaturization (20.98% for second iteration). In an attempt to further increase the bandwidth of the proposed antenna, Particle Swarm optimization (PSO) method is employed to optimize the proposed structure. The obtained results establish that the antenna functions in the 3.90 GHz to 15.82 GHz band. Having a meander line slot etched on the feed line, a frequency notched characteristics at 11.62 GHz (11.33−11.90 GHz) is obtained.
{"title":"On the Optimal Design of Fractal Tuning Stub UWB Patch Antenna with Band-Notched Function","authors":"Amar Partap Singh Pharwaha, Sushil Kakkar, Tara Singh Kamal","doi":"10.1109/ICIST.2018.8426089","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426089","url":null,"abstract":"The present paper focuses on the design of ultra wide band (UWB) antenna using sierpinski carpet fractal structure as a tuning-stub in the coplanar waveguide (CPW) fed microstrip conducting patch. CPW feed is employed to enhance the impedance bandwidth of the proposed antenna. Similarly, implementation of fractal geometry in tuning stub is used for its miniaturization (20.98% for second iteration). In an attempt to further increase the bandwidth of the proposed antenna, Particle Swarm optimization (PSO) method is employed to optimize the proposed structure. The obtained results establish that the antenna functions in the 3.90 GHz to 15.82 GHz band. Having a meander line slot etched on the feed line, a frequency notched characteristics at 11.62 GHz (11.33−11.90 GHz) is obtained.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114003377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426076
Peng Luo, Hong Zhao, Chen Guo, S. Cheng
The precise control of propulsion motor for an unmanned surface vehicle (USV) is essential when carrying out important tasks. This paper makes researches on the permanent magnet synchronous motor (PMSM) of an USV and characteristics of its composite ship-propeller load, and then proposes introducing model predictive control (MPC) to improve the dynamic performance of USV propulsion system further. The correctness and effectiveness of the design of the model predictive control USV propulsion system is verified through the Matlab/Simulink simulation analysis. In the case of ship-propeller composite load, simulation experiment results show that the PMSM propulsion system adopting MPC strategy can not only overcome the shortcomings of setting PI parameters difficultly, large speed and torque overshoots in dynamic processes, but also enhance both the anti-interference ability of USV propulsion system under complex sea conditions and the dynamic and static performance of the system.
{"title":"Model Predictive Control of Permanent Magnet Synchronous Propulsion Motor Applied in USV with Composite Ship-Propeller Load","authors":"Peng Luo, Hong Zhao, Chen Guo, S. Cheng","doi":"10.1109/ICIST.2018.8426076","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426076","url":null,"abstract":"The precise control of propulsion motor for an unmanned surface vehicle (USV) is essential when carrying out important tasks. This paper makes researches on the permanent magnet synchronous motor (PMSM) of an USV and characteristics of its composite ship-propeller load, and then proposes introducing model predictive control (MPC) to improve the dynamic performance of USV propulsion system further. The correctness and effectiveness of the design of the model predictive control USV propulsion system is verified through the Matlab/Simulink simulation analysis. In the case of ship-propeller composite load, simulation experiment results show that the PMSM propulsion system adopting MPC strategy can not only overcome the shortcomings of setting PI parameters difficultly, large speed and torque overshoots in dynamic processes, but also enhance both the anti-interference ability of USV propulsion system under complex sea conditions and the dynamic and static performance of the system.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129978551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426190
Weiyang Sun, Lixian Zhang, Dongzhe Wang, Yiming Cheng, Youshan Wang
This paper is concerned with the problems of stability analysis and Hoo control for a class of systems with quantized signals in both control input channel and measurement output channel. The quantization density of each quantizer is considered to be variable, and the variations of the quantizers are governed by a Markov chain. With the aid of quantization-error-dependent Lyapunov function approach, a set of Hoo controllers depending on the mode of quantization density are carried out to achieve the stochastic stability and the prescribed Hoo performance of the closed-loop system. Finally, a numerical example is provided to illustrate the effectiveness of the proposed control method and the benefits of the variability of quantization density.
{"title":"Stability and H∞ Control of Systems with Variable Quantization Density in Both Input and Output Channels","authors":"Weiyang Sun, Lixian Zhang, Dongzhe Wang, Yiming Cheng, Youshan Wang","doi":"10.1109/ICIST.2018.8426190","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426190","url":null,"abstract":"This paper is concerned with the problems of stability analysis and Hoo control for a class of systems with quantized signals in both control input channel and measurement output channel. The quantization density of each quantizer is considered to be variable, and the variations of the quantizers are governed by a Markov chain. With the aid of quantization-error-dependent Lyapunov function approach, a set of Hoo controllers depending on the mode of quantization density are carried out to achieve the stochastic stability and the prescribed Hoo performance of the closed-loop system. Finally, a numerical example is provided to illustrate the effectiveness of the proposed control method and the benefits of the variability of quantization density.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131021058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426175
Fan Zhou, B. Dong, Yan Li, Keping Liu, Yuan-chun Li
A distributed module system monitoring and fault detection of the overall joint for modular and reconfigurable robot (MRR) is proposed in this paper. In the design procedure, the joint commanded torque generated by a distributed fault-tolerant controller is filtered and compared with a filtered torque estimate derived from the nonlinear dynamic model of MRR based on joint torque sensing. Considering the motor output capacity, a novel performance index for providing the operation health conditions of an MRR joint is constructed by using the torque prediction error. The proposed scheme is shown to be able to monitor the health of the overall joint for MRR with any movement, which is essential for robots working in human environments. The presented method has been experimentally tested, and the experimental results have demonstrated the effectiveness of the proposed method.
{"title":"Module System Monitoring and Fault Detection for Modular and Reconfigurable Robot","authors":"Fan Zhou, B. Dong, Yan Li, Keping Liu, Yuan-chun Li","doi":"10.1109/ICIST.2018.8426175","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426175","url":null,"abstract":"A distributed module system monitoring and fault detection of the overall joint for modular and reconfigurable robot (MRR) is proposed in this paper. In the design procedure, the joint commanded torque generated by a distributed fault-tolerant controller is filtered and compared with a filtered torque estimate derived from the nonlinear dynamic model of MRR based on joint torque sensing. Considering the motor output capacity, a novel performance index for providing the operation health conditions of an MRR joint is constructed by using the torque prediction error. The proposed scheme is shown to be able to monitor the health of the overall joint for MRR with any movement, which is essential for robots working in human environments. The presented method has been experimentally tested, and the experimental results have demonstrated the effectiveness of the proposed method.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131094857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/ICIST.2018.8426172
Tianhe Liu, Ye Liang, Yiming Cheng, Lin Zhang, Changhong Wang, Jun Wang
The H∞ filtering problem for a class of networked control systems (N CSs) subject to variable quantization density is studied in this paper. The quantization density may alter among finite options, and the variation is subject to persistent dwell-time switching signals. Therefore it is possible to model the NCSs as switched systems. A quantization-density-dependent Lyapunov function is adopted. Stability criterion and l2 gain analysis result are demonstrated, and a set of H∞ filters is designed. The effectiveness and advantage of the developed results is illustrated through a numerical example.
{"title":"Non-Weighted H∞ Filtering for Networked Systems with Variable Quantization Density","authors":"Tianhe Liu, Ye Liang, Yiming Cheng, Lin Zhang, Changhong Wang, Jun Wang","doi":"10.1109/ICIST.2018.8426172","DOIUrl":"https://doi.org/10.1109/ICIST.2018.8426172","url":null,"abstract":"The H∞ filtering problem for a class of networked control systems (N CSs) subject to variable quantization density is studied in this paper. The quantization density may alter among finite options, and the variation is subject to persistent dwell-time switching signals. Therefore it is possible to model the NCSs as switched systems. A quantization-density-dependent Lyapunov function is adopted. Stability criterion and l2 gain analysis result are demonstrated, and a set of H∞ filters is designed. The effectiveness and advantage of the developed results is illustrated through a numerical example.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133791640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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